{"id":"W6920502163","doi":"10.6082/uchicago.3145","title":"For the Sake of Diversity: Ethnic-Minority Skilled Immigrants with Diversity and Inclusion Programs in Canada","year":2021,"lang":"en","type":"article","venue":"Knowledge@UChicago (University of Chicago)","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inclusion (mineral); Diversity (politics); Cultural diversity; Immigration; Bureaucracy; Commit; Equity (law); Multiculturalism; Inclusion–exclusion principle","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.001047149,0.0001656231,0.0004385723,0.00009153068,0.006713024,0.000008650101,0.0008310981,0.0001587064,0.00008868428],"category_scores_gemma":[0.0001409993,0.0001625484,0.000131143,0.0007737104,0.0006727053,0.0002415771,0.01036923,0.0002858033,9.253857e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003233376,"about_ca_system_score_gemma":0.001435293,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8901349,"about_ca_topic_score_gemma":0.9957495,"domain_scores_codex":[0.9980116,0.0003867348,0.000170612,0.0004041044,0.0006356123,0.0003912746],"domain_scores_gemma":[0.99823,0.000530553,0.0002136847,0.0003151595,0.0005240122,0.0001865869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005328825,0.0005635405,0.5576546,0.0002965675,0.0002336284,0.00003991944,0.4103848,0.00001771999,0.00005011516,0.006852834,0.0004566026,0.02291674],"study_design_scores_gemma":[0.003836684,0.0001718398,0.7107084,0.0001442193,0.000362182,0.000002317548,0.27214,0.0002943377,0.000119215,0.002461803,0.009335585,0.000423407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904574,0.0006010141,0.0003081196,0.002197088,0.000144198,0.0005262257,0.00007590721,0.00001977748,0.005670235],"genre_scores_gemma":[0.9984112,0.0004928127,0.0003593159,0.00005284561,0.00002604464,4.228436e-7,0.00001389916,0.000004491053,0.0006389401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1530538,"threshold_uncertainty_score":0.9976347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09066543441222784,"score_gpt":0.2602135163854164,"score_spread":0.1695480819731885,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}